If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
While the importance of the cloud is obvious to anyone, the increasing importance of the edge is often overlooked. As digitization and the Internet of Things are leading to an exponential growth in the number of devices, the amount of data that is being generated by sensors in devices such as self-driving-cars, mobile endpoints and people tracking systems for retail is astronomical. Analyzing and turning that data into immediate actions is key to success in the era of digitization. The cloud enables massive data storage and processing, but it does not always lend itself to real time processing and immediate actions. Latency and the sheer amount of data to be transmitted are much less of a factor for the edge compared to the data center.
A black spot on a white sheet of paper can be found with a quick glance. What if you have to search for a black dot with certain radius among the cluster of dots on a large sheet of white paper. Such is the need of the hour where you have to intelligently search for a piece of information from a cornucopia of data in your system. Cognitive search is revolutionizing the process of retrieving the files. There is a diminishing trend of manually searching for a document stored somewhere in your system.
IBM has been making a lot of noise in the datacenter recently. In December of 2017, the company's POWER9 platforms hit the market with a focus on Artificial Intelligence (AI). In March of this year, Rackspace and Google gave the first public peek at the Zaius and Barreleye 2 Open Compute platform at the Open Compute Summit. At last week's Red Hat summit, IBM and Red Hat announced a partnership to extend IBM Cloud to Red Hat's OpenShift Container Platform and Certified Containers. These are all significant, but perhaps the biggest bang of all was the recent announcement that IBM and Nutanix have delivered hyperconverged platforms based on IBM's POWER9 platform.
IBM has been making a lot of noise in the datacenter recently. In December of 2017, the company's POWER9 platforms hit the market with a focus on Artificial Intelligence (AI). In March of this year, Rackspace and Google gave the first public peak at the Zaius and Barreleye 2 Open Compute platform at the Open Compute Summit. At last week's Red Hat summit, IBM and Red Hat announced a partnership to extend IBM Cloud to Red Hat's OpenShift Container Platform and Certified Containers. These are all significant, but perhaps the biggest bang of all was the recent announcement that IBM and Nutanix are partnering to deliver hyperconverged platforms based on IBM's POWER9 platform.
IFI CLAIMS Patent Services has a global patent database with more than 110 million records from about 100 countries that the company has painstakingly assembled over the years. "We take information from different data sources and we standardize it and put it in a usable format that companies can either access directly or they can build a user interface on top of it," Director of Marketing Catherine Suski said. Could the company have acquired this comprehensive dataset instead? There is nothing like it in the world, she said. Furthermore the company is continually adding to it and monitoring it for quality.
Today we are starting a six-part series on Negative SEO. The series will be broken into three areas and will show how negative search engine optimization (SEO) has an effect on links, content and user signals. Positive SEO under this broader view would be any tactic performed with the intent to positively impact rankings for a uniform resource locator (URL), and possibly its host domain, by manipulating a variable within the links, content or user signals areas. Negative SEO would be any tactic performed with the intent to negatively impact rankings for a URL, and possibly its host domain, by manipulating a variable within the links, content or user signal buckets. If you can accidentally hurt your rankings by shifting a variable, then it would logically suggest that an external entity shifting that same variable associated with your site could result in a ranking decrease or outright deindexation.
Artificial intelligence is getting smarter, and with those smarts comes application. It's now used in some surprising areas, from arcade games to law contracts to therapy to pornography. Real estate is the next area AI is conquering, and first up on the battlefield is Zillow. When Zillow's chief marketing officer, Jeremy Wacksman, joined the company in 2009 (which, with the U.S. economy mired in the housing crisis, he says was a "fabulous time to join a startup in the real-estate space"), he was determined to incorporate artificial intelligence into the platform. Currently, the site is undergoing what Wacksman describes as "the evolution from a search box to an assistant."
With customer needs growing, marketers are expected to deliver excellence across dozens of services, but this just isn't possible for any singular human or even most teams. Between social media, analytics, data science, search engine optimization and other increasingly digital skill sets, modern marketers must wear more hats than any one head can balance. The industry now needs more than just human intelligence to provide value.
A well-crafted data strategy is key to enhancing patient experience and controlling healthcare industry costs, according to Bill Gillis, CIO at Beth Israel Deaconess Care Organization. In an interview at the recent CDM Media CIO Boston Summit, Gillis discussed how data can be used to revolutionize the healthcare industry. In this video, he talks about the benefits of big data for the healthcare industry and highlights how AI and machine learning investments streamline manual processes and improve interoperability. Editor's note: The following transcript has been edited for clarity and length. Do organizations need a chief data officer?
The first panel depicts a collection of talks by Doug Pontious of Amerisure titled Cultivating an Analytics-Driven Culture to Ensure Successful Insight Generation, and Jacob Ablowitz and William Hickson at dmi.io titled "What's My Data Worth?" Pontious' session discussed some best practices learned at Amerisure as they unified many different data sources into an enterprise repository. Ablowitz and Hickson's presentation covered the fundamentals of commercializing data. Bradley A. Rhine of Fulton Financial Corporation and Kristin M. Love of GSK – Not the Return on Investment: Alternatives to Measuring Your Data Integration Strategy; Peter Haynes Aiken at Data Blueprint, Ed Kelly at the State of Texas, Jeffrey Kriseman at the State of Tennessee, and Michael Leahy at the State of Maryland – Challenges Facing the "First" State CDO (Not Initially Different from the Private Sector); JG Cowper of Healthbridge – How Prescribing "Data Glasses" to Eye Surgeons Is Transforming How They See Their Industry; Michael Scofield of Loma Linda University – Good Data, Bad Information – Why the Disconnect; and, Ian Rowlands of ASG Technologies – Data for Everyone: A Changing Data World. Cathy S Normand of ExxonMobil – Making Metadata Valuable – ExxonMobil's Journey Collecting and Cataloging Metadata; Lori Hurley and Denise Janci at Allstate – Divergent Approaches to Metadata Management: Lessons Learned; Ron Klein at Klein Admonition – Deriving New Business Terms from Technical Metadata; Liju Fan of OFR – Semantic Metadata Management: Leveraging Intuitive Ontologies Developed with Best Practices; David N Plotkin of MUFG – Metadata Quality: Ignore at Your Own Risk!; and, Susan Swanson at HCSC – Leveraging the Enterprise Metadata Repository for Data Governance Oversight and Data Quality Monitoring.